A method and system for predicting the aging life of waterproof coatings

Abstract

The present invention relates to the technical field of waterproof coating detection, in particular to a method and system for predicting the aging life of a waterproof coating, which not only improves the prediction accuracy but also enhances the scientificity and rationality of the use of the waterproof coating; the method includes: collecting the usage environment parameter set and the usage structure vector of the waterproof coating to be predicted; the usage environment parameter set includes humidity, temperature, ultraviolet intensity, and pH value; the usage structure vector includes the coating area and the coating thickness; taking the usage structure vector as a mapping condition, extracting the corresponding structure aging influence factor from the pre-constructed structure influence factor matrix; obtaining the composition characteristic information of the waterproof coating to be predicted and the standard environment parameter set; performing deviation analysis on the usage environment parameter set and the standard environment parameter set to obtain the environment aging influence factor; performing experimental analysis on the composition characteristic information to determine the standard service life of the waterproof coating under the standard environment parameter set.

Description

Technical Field

[0001] The present invention relates to the technical field of waterproof coating detection, and particularly to a method and system for predicting the aging life of waterproof coatings. Background Art

[0002] With the rapid development of the construction industry, waterproof coatings are increasingly widely used in various building structures. Waterproof coatings can not only effectively prevent water penetration, extend the service life of buildings, but also enhance the overall aesthetics and safety of buildings. However, in the actual use process, waterproof coatings will be affected by various environmental factors, such as humidity, temperature, etc., which will accelerate the aging process of the coatings, resulting in a decline in their performance or even failure. Therefore, accurately predicting the aging life of waterproof coatings is of great significance for ensuring the long-term safety and reliability of buildings.

[0003] The existing aging life of waterproof coatings is often based on a series of standard tests under laboratory conditions, such as thermal aging tests, ultraviolet aging tests, etc. These tests are usually carried out under relatively broad environmental conditions and it is difficult to provide more accurate life prediction guidance for the actual use environment, resulting in a large deviation between the prediction results and the actual situation, which affects the use effect of waterproof coatings. Summary of the Invention

[0004] To solve the above technical problems, the present invention provides a method and system for predicting the aging life of waterproof coatings, which not only improve the prediction accuracy, but also enhance the scientificity and rationality of the use of waterproof coatings.

[0005] In a first aspect, the present invention provides a method for predicting the aging life of waterproof coatings, the method comprising:

[0006] Collecting the usage environment parameter set and the usage structure vector of the waterproof coating to be predicted; the usage environment parameter set includes humidity, temperature, ultraviolet intensity, and pH value; the usage structure vector includes the coating area and the coating thickness;

[0007] Taking the usage structure vector as a mapping condition, extracting the corresponding structure aging influence factor from a pre-constructed structure influence factor matrix;

[0008] Obtaining the composition characteristic information and the standard environment parameter set of the waterproof coating to be predicted;

[0009] Performing deviation analysis on the usage environment parameter set and the standard environment parameter set to obtain the environmental aging influence factor;

[0010] Performing experimental analysis on the composition characteristic information to determine the standard service life of the waterproof coating under the standard environment parameter set;

[0011] Based on the structure aging influence factor and the environmental aging influence factor, correct the standard service life to obtain the actual aging life of the waterproof coating to be predicted.

[0012] Further, the structure influence factor matrix is:

[0013]

[0014] Where p represents the number of different coating structures, n represents the number of aging influence factors corresponding to each coating structure, and m pn represents the value of the nth aging influence factor under the pth coating structure.

[0015] Further, the method for constructing the structure influence factor matrix includes:

[0016] Collect the coating aging life data under different structural parameters;

[0017] Process and analyze the collected coating aging life data; including data cleaning, sorting, and statistical steps;

[0018] Based on the processed coating aging life data, establish a mathematical model to describe the relationship between the structural parameters and the coating aging life;

[0019] Use the established mathematical model to calculate the aging influence factor under each structural parameter and fill it into the corresponding matrix cell to obtain the structure influence factor matrix.

[0020] Further, the calculation formula for the environmental aging influence factor is:

[0021]

[0022] Where i represents different environmental parameters; P i represents the value of the actual use environmental parameter i; P i，0 represents the value of the standard environmental parameter i; P imax and P imin are the maximum and minimum values taken by the parameter i respectively, used to normalize the difference value; w i is the weight coefficient of the parameter i.

[0023] Further, the formula for calculating the actual aging life of the waterproof coating to be predicted is:

[0024]

[0025] Where L a represents the actual aging life of the waterproof coating to be predicted; L b represents the standard service life of the waterproof coating to be predicted; a iThe correction coefficient representing the i-th structural aging influence factor; F s，i The value of the i-th structural aging influence factor extracted from the structural influence factor matrix; n represents the total number of structural aging influence factors; b j The correction coefficient representing the j-th environmental aging influence factor; F e，j The value of the j-th environmental aging influence factor obtained through deviation analysis; m represents the total number of environmental aging influence factors.

[0026] Furthermore, the method for obtaining the composition characteristic information of the waterproof coating to be predicted includes:

[0027] Through infrared spectroscopy analysis, obtain the main chemical components in the coating; through mass spectrometry analysis, obtain the molecular weights and molecular structures of the components in the coating; through nuclear magnetic resonance analysis, obtain detailed information on the molecular structure of the coating; through gas chromatography-mass spectrometry combined analysis, obtain the volatile components in the coating;

[0028] Through measurement with an electronic densitometer, obtain the density of the coating; through a rotational viscometer, obtain the viscosity of the coating; through measurement by the drying loss method, obtain the solid content of the coating; through gas chromatography measurement, obtain the content of volatile organic compounds in the coating;

[0029] By immersing the coating sample in acid-base solutions with different concentrations, obtain the acid and alkali resistance of the coating; by immersing the coating sample in different solvents, obtain the solvent resistance of the coating; through a salt spray test, obtain the corrosion resistance performance of the coating in a salt spray environment;

[0030] Record all test results, including the chemical composition, physical properties, and chemical resistance information of the coating; and organize all test results to obtain the coating composition characteristic information.

[0031] Furthermore, the method for obtaining the standard service life includes:

[0032] According to the collected standard environmental parameter set, set up the aging test environment;

[0033] According to the construction requirements of the coating and the use structure vector, prepare test samples;

[0034] Place the prepared test samples in the designed aging test environment and conduct aging tests according to a predetermined time cycle;

[0035] By comparing and analyzing the performance changes of the coating before and after the aging test, estimate the standard service life of the coating under the standard environmental parameter set.

[0036] On the other hand, the present application also provides a waterproof coating aging life prediction system, and the system includes:

[0037] A data collection module that collects the set of usage environment parameters and the usage structure vector of the waterproof coating to be predicted; the set of usage environment parameters includes humidity, temperature, ultraviolet intensity, and pH value; the usage structure vector includes the coating area and the coating thickness;

[0038] A structure influence factor extraction module that uses the usage structure vector as a mapping condition to extract the corresponding structure aging influence factor from a pre-constructed structure influence factor matrix;

[0039] A feature information collection module that obtains the composition feature information of the waterproof coating to be predicted and the set of standard environment parameters;

[0040] A deviation analysis module that performs deviation analysis on the set of usage environment parameters and the set of standard environment parameters to obtain the environmental aging influence factor;

[0041] A standard service life determination module that conducts experimental analysis on the composition feature information to determine the standard service life of the waterproof coating under the set of standard environment parameters;

[0042] A life correction module that corrects the standard service life based on the structure aging influence factor and the environmental aging influence factor to obtain the actual aging life of the waterproof coating to be predicted.

[0043] In a third aspect, the present application provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor. The transceiver, the memory, and the processor are connected through the bus. When the computer program is executed by the processor, the steps in any one of the above methods are implemented.

[0044] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in any one of the above methods are implemented.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows: By comprehensively considering the usage environment parameters and the usage structure vector, this method can more accurately reflect the aging situation of the waterproof coating in the actual usage environment; through deviation analysis and experimental analysis, it can more accurately determine the aging influence factor of the coating in a specific environment, thereby providing a more accurate prediction of the aging life; different building structures and environmental conditions have different effects on the aging life of the coating, and this method can make personalized predictions for these differences;

[0046] The method not only considers external environmental factors but also internal structure factors of the coating, thus more comprehensively evaluating the aging situation of the coating; at the same time, this method also considers the composition feature information of the coating itself, further improving the accuracy and reliability of the prediction;

[0047] This method can be applied in the actual usage environment, providing a scientific basis for the selection and use of waterproof coatings; by predicting the aging life of waterproof coatings, it can help builders and property owners better plan maintenance and replacement work, extend the service life of buildings, and improve safety and reliability;

[0048] Since this method is based on actual usage environment parameters for prediction, it can dynamically adjust the prediction results as environmental conditions change; this means that this method can adapt to the needs of predicting the aging life of waterproof coatings in different regions, seasons, and climate conditions;

[0049] In summary, this method for predicting the aging life of waterproof coatings not only improves the prediction accuracy but also enhances the scientificity and rationality of the use of waterproof coatings, providing strong support for the selection, use, and maintenance of waterproof coatings. Brief Description of the Drawings

[0050] Figure 1 is a flowchart of the present invention;

[0051] Figure 2 is a flowchart of the construction method of the structural influence factor matrix;

[0052] Figure 3 is a structural diagram of a system for predicting the aging life of waterproof coatings. Detailed Embodiments

[0053] In the description of the present application, those skilled in the art should know that the present application can be implemented as a method, a device, an electronic device, and a computer-readable storage medium. Therefore, the present application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), and a combination of hardware and software. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable storage media, which contains computer program code.

[0054] The above-mentioned computer-readable storage media can be any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, compact disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, the computer-readable storage media can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or component.

[0055] In the technical solution of this application, the acquisition, storage, use, processing, etc. of data all comply with the relevant provisions of national laws.

[0056] This application describes the provided methods, devices, and electronic devices through flowcharts and / or block diagrams.

[0057] It should be understood that each block of the flowchart and / or block diagram, as well as the combination of blocks in the flowchart and / or block diagram, can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, thereby producing a machine. These computer-readable program instructions are executed by a computer or other programmable data processing devices, resulting in a device that realizes the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0058] These computer-readable program instructions can also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product that includes instructions for realizing the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0059] The computer-readable program instructions can also be loaded onto a computer, other programmable data processing devices, or other devices, such that a series of operation steps are executed on the computer, other programmable data processing devices, or other devices, resulting in a computer-implemented process. Thus, the instructions executed on the computer or other programmable data processing devices can provide a process for realizing the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0060] The following describes this application in combination with the drawings in this application.

[0061] Embodiment 1: As Figures 1 to 2 shown, a method for predicting the aging life of a waterproof coating of the present invention specifically includes the following steps:

[0062] S1. Collect the usage environment parameter set and the usage structure vector of the waterproof coating to be predicted; the usage environment parameter set includes humidity, temperature, ultraviolet intensity, and pH value; the usage structure vector includes the coating area and the coating thickness;

[0063] The usage environment parameter set refers to various environmental conditions faced by the waterproof coating during actual use, and these conditions will directly affect the aging speed and life of the coating; the specific parameters include:

[0064] Humidity: A high-humidity environment will accelerate the decomposition and corrosion of certain components in the coating, resulting in a decline in the coating performance; therefore, it is necessary to accurately record the humidity data in the coating usage environment.

[0065] Temperature: A high-temperature environment will accelerate the rate of chemical reactions inside the coating, leading to a rapid decline in the coating's performance; while a low-temperature environment may cause incomplete curing of the coating, affecting the overall performance of the coating. Therefore, it is necessary to record the temperature data in the coating usage environment.

[0066] Ultraviolet intensity: When exposed to strong ultraviolet rays for a long time, the organic substances in the coating will undergo photochemical reactions, resulting in color fading and performance degradation of the coating. Therefore, it is necessary to record the ultraviolet intensity data in the coating usage environment.

[0067] pH value: Some coatings may undergo chemical changes in an environment with a high pH value, leading to a decline in the coating's performance. Therefore, it is necessary to record the pH value data in the coating usage environment.

[0068] The use of structural vectors refers to the structural characteristics of the coating itself that affect the aging life of the coating. Specific parameters include:

[0069] Coating area: The size of the coating area will affect the amount of coating used and the uniformity of the coating. The larger the coating area, the greater the amount of coating used, and at the same time, the uniformity of the coating may also be affected, which will affect the aging life of the coating.

[0070] Coating thickness: If the coating is too thin, it will cause the coating to not fully cover the substrate, affecting the waterproof effect; while if the coating is too thick, it will cause excessive internal stress in the coating, prone to problems such as cracking and peeling. Therefore, it is necessary to accurately record the coating thickness data.

[0071] In this step, by collecting the environmental parameter set and the use of structural vectors during the actual use of the waterproof coating, the key factors affecting the aging life of the coating can be accurately obtained, providing a solid foundation for subsequent analysis and prediction, ensuring the accuracy and reliability of the prediction results. Accurate environmental parameter and use of structural vector data make the aging life prediction of the waterproof coating more precise. Compared with the traditional prediction method based on laboratory standard tests, this step takes into account the complexity and diversity of the actual use environment, so it can be closer to the actual situation, reduce prediction deviation, and improve the practicality and accuracy of the prediction. By understanding the aging speed and life of the coating in the actual use environment, the use effect of the coating can be further optimized. For example, according to the prediction results, the coating formula, construction process, or maintenance strategy can be adjusted to extend the service life of the coating and improve the waterproof effect, thereby ensuring the long-term safety and reliability of the building. In summary, step S1 provides strong support for the aging life prediction of the waterproof coating through beneficial effects such as accurately obtaining key data, improving prediction accuracy, optimizing the use effect of the coating, and promoting technological innovation, providing a solid guarantee for the long-term safety and reliability of the building.

[0072] S2. Use the structural vector as the mapping condition to extract the corresponding structural aging influence factor from the pre-constructed structural influence factor matrix;

[0073] The construction method of the structural influence factor matrix includes:

[0074] Clarify the goal of constructing the structural influence factor matrix, that is, to establish a quantitative relationship between structural parameters such as coating area and coating thickness and the coating aging life; this helps to quickly predict the coating aging life based on specific structural parameters in the follow-up;

[0075] To construct the structural influence factor matrix, it is necessary to collect coating aging life data under different structural parameters; this can reflect the aging behavior of the coating under different structural parameters;

[0076] Process and analyze the collected experimental data; including data cleaning, sorting, and statistical steps; through data analysis, the influence trend and law of different structural parameters on the coating aging life can be initially understood;

[0077] Based on the processed experimental data, establish a mathematical model to describe the relationship between structural parameters and the coating aging life; the establishment of the model can reflect the complex influence of different structural parameters on the coating aging life;

[0078] Use the established mathematical model to calculate the aging influence factor under each structural parameter and fill it into the corresponding matrix cell to obtain the structural influence factor matrix;

[0079] The structural influence factor matrix is:

[0080]

[0081] Among them, p represents the number of different coating structures, n represents the number of corresponding aging influence factors under each coating structure, and m pn represents the value of the nth aging influence factor under the pth coating structure.

[0082] In this step, by collecting and analyzing a large amount of experimental data, a mathematical model between the structural parameters and the coating aging life was established. This model can accurately reflect the influence of different structural parameters on the coating aging life. The aging influence factor calculated based on this model can more precisely predict the aging life of the coating in the actual use environment, thus reducing the deviation between the prediction result and the actual situation. The establishment of the structural influence factor matrix enables, when predicting the coating aging life subsequently, to quickly obtain the prediction result by simply extracting the corresponding aging influence factor from the matrix according to specific structural parameters such as the coating area and coating thickness; it avoids the cumbersome repeated experiments and calculation processes, significantly improving the prediction efficiency. The construction of the structural influence factor matrix helps to deeply understand the influence law of different structural parameters on the coating aging life. In practical applications, according to the specific requirements and use environment of the building, an appropriate coating structure and coating type can be selected to extend the service life of the building and enhance its safety and reliability. The structural influence factor matrix established in this step provides important data support and theoretical basis for the research and development of waterproof coatings. By continuously optimizing and improving the aging influence factors in the matrix, it can promote the continuous progress and development of waterproof coating technology to meet the growing building needs.

[0083] S3. Obtain the composition characteristic information of the waterproof coating to be predicted and the standard environmental parameter set;

[0084] The method for obtaining the composition characteristic information of the waterproof coating to be predicted includes:

[0085] Through infrared spectroscopy analysis, obtain the main chemical components in the coating; through mass spectrometry analysis, obtain the molecular weight and molecular structure of each component in the coating; through nuclear magnetic resonance analysis, obtain the detailed information of the coating molecular structure; through gas chromatography - mass spectrometry analysis, obtain the volatile components in the coating;

[0086] Through measurement with an electronic densitometer, obtain the density of the coating; through a rotational viscometer, obtain the viscosity of the coating; through the drying - loss method measurement, obtain the solid content of the coating; through gas chromatography measurement, obtain the content of volatile organic compounds in the coating;

[0087] By immersing the coating sample in acid - base solutions with different concentrations, obtain the acid - base resistance of the coating; by immersing the coating sample in different solvents, obtain the solvent resistance of the coating; through a salt spray test, obtain the corrosion resistance of the coating in a salt spray environment;

[0088] Detailed record all test results to obtain the chemical composition, physical properties, and chemical resistance information of the coating; organize the test results to obtain the coating composition characteristic information;

[0089] The method for obtaining the standard environmental parameter set includes:

[0090] Define standard environmental parameters according to the usage environment and requirements of the waterproof coating; the standard environmental parameters include temperature, humidity, ultraviolet intensity, and pH value, and simulate the environmental conditions during the actual use of the coating.

[0091] Use environmental measurement equipment to accurately measure the standard environmental parameters; ensure the consistency and accuracy of these parameters in subsequent experiments and predictions.

[0092] In the laboratory, use environmental simulation equipment to simulate the standard environment to simulate the aging process of the coating during actual use.

[0093] Record all measured environmental parameters and store them in a database; these data will be used for subsequent analysis and prediction to ensure the accuracy and reliability of the results.

[0094] In this step, it is possible to comprehensively and accurately obtain information on the chemical composition, physical properties, and chemical resistance of the waterproof coating to be predicted, which helps to deeply understand the performance characteristics and aging behavior of the coating; when obtaining the standard environmental parameter set, attention is paid to the definition, measurement, and simulation of the parameters to ensure the consistency and accuracy of these parameters in subsequent experiments and predictions; it helps to eliminate the influence of environmental factors on the prediction results and improve the accuracy and reliability of the prediction; by obtaining the composition characteristic information of the coating and the standard environmental parameter set, this step provides a scientific basis for subsequent prediction of the coating aging life; the composition characteristic information and environmental parameter set obtained in this step can not only be used for prediction of the coating aging life, but also for performance evaluation and selection of the coating; by comparing the composition and performance characteristics of different coatings, as well as their aging behaviors in different environments, it is possible to more scientifically select coatings suitable for specific usage environments and requirements; through in-depth research and analysis of the composition, performance, and environmental adaptability of the coating, new coating formulations and improvement directions can be discovered, thereby developing waterproof coatings with better performance and more adaptable to different usage environments.

[0095] S4. Conduct a deviation analysis on the set of usage environment parameters and the set of standard environmental parameters to obtain an environmental aging influence factor.

[0096] The method for obtaining the environmental aging influence factor includes:

[0097] By comparing the differences between the actual environmental parameters and the standard environmental parameters, quantify the influence of such differences on the aging of the coating; calculate the deviation degree of each environmental parameter in the actual usage environment and the standard environment.

[0098] Collect experimental data on the coating aging rate under different environmental conditions; use statistical methods to analyze the relationship between environmental parameters and the aging rate to obtain a relationship model between environmental parameters and the aging rate.

[0099] According to the established relationship model between environmental parameters and aging rate, calculate the multiple of the aging rate in the actual use environment relative to the aging rate in the standard environment. The multiple of the aging rate is the environmental aging impact factor;

[0100] The calculation formula for the environmental aging impact factor is:

[0101]

[0102] where i represents different environmental parameters; P i represents the value of the actual use environmental parameter i; P i，0 represents the value of the standard environmental parameter i; P imax and P imin are the maximum and minimum values taken by the parameter i respectively, used to normalize the difference value; w i is the weight coefficient of the parameter i.

[0103] In this step, by comparing the differences between the actual use environmental parameters and the standard environmental parameters and quantifying the impact of such differences on the aging of the coating, this step can more accurately evaluate the role of environmental factors in the coating aging process; it helps to reveal the specific impact degrees of different environmental factors on the coating aging, thus providing a more reliable basis for subsequent life prediction; by collecting experimental data on the coating aging rate under different environmental conditions and using statistical methods to analyze the relationship between environmental parameters and aging rate, this step can establish a relationship model between environmental parameters and aging rate; this model can reflect the specific impact of changes in environmental parameters on the coating aging rate, providing a scientific basis for predicting the aging life of the coating in the actual use environment; based on the established relationship model between environmental parameters and aging rate, this step can calculate the multiple of the aging rate in the actual use environment relative to the aging rate in the standard environment, that is, the environmental aging impact factor; this factor can more accurately reflect the impact of the actual use environment on the coating aging life, thereby improving the accuracy of coating aging life prediction; Normalization processing enhances the applicability of the model: When calculating the environmental aging impact factor, by introducing the maximum and minimum values of the parameters for normalization processing, the influence of different parameter dimensions and value range differences on the model can be eliminated, enhancing the applicability and accuracy of the model; by introducing weight coefficients to reflect the importance of different environmental parameters in the coating aging process, this step can more flexibly adapt to the coating aging prediction requirements under different environmental conditions; this helps to more accurately evaluate the comprehensive impact of different environmental factors on the coating aging and improve the accuracy and reliability of the prediction.

[0104] S5. Conduct experimental analysis on the component characteristic information to determine the standard service life of the waterproof coating under the standard environmental parameter set;

[0105] The method for obtaining the standard service life includes:

[0106] Design corresponding aging test conditions according to the collected standard environmental parameter set; the designed aging test conditions can simulate the most adverse conditions that the coating may encounter in the actual use environment to ensure the accuracy and reliability of the test results;

[0107] Prepare standard test samples according to the construction requirements of the coating and the use structure vector; the samples should ensure uniform coating, no defects, and meet the coating thickness and area requirements in actual use;

[0108] Place the prepared test samples in the designed aging test environment and conduct aging tests according to the predetermined time period; during the test, the appearance changes, performance degradation, and possible failure modes of the coating should be observed and recorded regularly;

[0109] Estimate the standard service life of the coating under the standard environmental parameter set by comparing and analyzing the performance changes of the coating before and after the aging test, combining the composition characteristic information of the coating and the aging test conditions.

[0110] In this step, by designing aging test conditions that can simulate the most adverse conditions that the coating may encounter in the actual use environment, the accuracy and reliability of the test results can be ensured; it helps to more accurately estimate the standard service life of the coating under the standard environmental parameter set, thereby reducing the deviation between the predicted result and the actual situation; prepare a standard test sample according to the construction requirements of the coating and the use structure vector to ensure that the coating is uniform, defect-free, and meets the coating thickness and area requirements in actual use; it helps to more truly reflect the performance changes of the coating in the aging test and improve the representativeness of the test results; during the aging test process, regularly observe and record the appearance changes, performance degradation, and possible failure modes of the coating; it helps to deeply understand the change rules of the coating at different aging stages and provide rich data support for subsequent life estimation; by comparing and analyzing the performance changes of the coating before and after the aging test, combining the composition characteristic information of the coating and the aging test conditions, and using professional evaluation methods and models for life estimation, the standard service life of the coating under the standard environmental parameter set can be predicted more scientifically; the obtained standard service life data can provide important references for the selection, construction, and maintenance of the waterproof coating in actual applications; it helps to ensure that the waterproof coating maintains good waterproof performance during long-term use, extend the service life of the building, and improve the overall safety and reliability; Step S5 improves the prediction accuracy of the standard service life of the waterproof coating by designing reasonable aging test conditions, optimizing the preparation of test samples, comprehensively recording and analyzing test data, and scientifically estimating the life; it not only helps to deeply understand the performance change rules of the coating, but also provides strong support for the selection and use of the coating in actual applications; through the implementation of this step, the performance and service life of the waterproof coating can be evaluated more effectively, contributing to the sustainable development of the construction industry.

[0111] S6. Based on the structural aging influence factor and the environmental aging influence factor, correct the standard service life to obtain the actual aging life of the waterproof coating to be predicted;

[0112] According to the structural aging influence factors extracted from the structural influence factor matrix, refer to historical data or industry standards to assign a correction coefficient to each influence factor; this coefficient reflects the relative influence degree of this influence factor on the coating aging life;

[0113] For the environmental aging influence factors obtained from the deviation analysis of the use environmental parameter set and the standard environmental parameter set, determine the corresponding correction coefficients; these coefficients consider the accelerating or decelerating effect of the actual use environment on the coating aging;

[0114] The method for obtaining the actual aging life of the waterproof coating to be predicted includes;

[0115] Integrate the structure aging impact factor and the environmental aging impact factor; perform weighted processing on the two factors to reflect their relative importance in the coating aging process;

[0116] Construct a life correction model for combining the integrated impact factors with the standard service life to predict the actual aging life of the coating;

[0117] Substitute the structure aging impact factor and the environmental aging impact factor into the model for calculation to obtain the actual aging life of the waterproof coating to be predicted;

[0118] Verify the prediction result by comparing it with the coating aging situation in the actual use environment;

[0119] The formula for calculating the actual aging life of the waterproof coating to be predicted is:

[0120]

[0121] Among them, L a represents the actual aging life of the waterproof coating to be predicted; L b represents the standard service life of the waterproof coating to be predicted; a i represents the correction coefficient of the i-th structure aging impact factor; F s，i represents the value of the i-th structure aging impact factor extracted from the structure impact factor matrix; n represents the total number of structure aging impact factors; b j represents the correction coefficient of the j-th environmental aging impact factor; F e，j represents the value of the j-th environmental aging impact factor obtained through deviation analysis; m represents the total number of environmental aging impact factors.

[0122] In this step, by comprehensively considering the structure aging impact factor and the environmental aging impact factor, the actual aging life of the waterproof coating can be predicted more accurately; it helps to avoid the deviation caused by the traditional prediction method ignoring the actual use environment, thus improving the accuracy and practicality of the prediction; the accurate prediction result can provide valuable reference information for building designers, construction workers and coating manufacturers, so as to optimize the use effect of the coating and extend the service life of the building; by predicting the actual aging life of the waterproof coating, a more scientific building maintenance plan can be formulated; it helps to detect and handle the coating aging problem in time, avoid potential leakage and damage, thus reducing the maintenance cost and improving the overall performance of the building; in summary, step S6 provides a more accurate and practical method for predicting the actual aging life of the waterproof coating by comprehensively considering the structure aging impact factor and the environmental aging impact factor; it helps to optimize the selection and use of the coating and reduce the maintenance cost.

[0123] Example 2: As Figure 3As shown in the figure, a waterproof coating aging life prediction system of the present invention specifically includes the following modules;

[0124] A data collection module that collects the usage environment parameter set and the usage structure vector of the waterproof coating to be predicted; the usage environment parameter set includes humidity, temperature, ultraviolet intensity, and pH value; the usage structure vector includes coating area and coating thickness;

[0125] A structure influence factor extraction module that uses the usage structure vector as a mapping condition to extract the corresponding structure aging influence factor from a pre-constructed structure influence factor matrix;

[0126] A characteristic information collection module that obtains the component characteristic information of the waterproof coating to be predicted and the standard environment parameter set;

[0127] A deviation analysis module that performs deviation analysis on the usage environment parameter set and the standard environment parameter set to obtain the environmental aging influence factor;

[0128] A standard service life determination module that performs experimental analysis on the component characteristic information to determine the standard service life of the waterproof coating under the standard environment parameter set;

[0129] A life correction module that corrects the standard service life based on the structure aging influence factor and the environmental aging influence factor to obtain the actual aging life of the waterproof coating to be predicted.

[0130] Through the data collection module, the system comprehensively collects the usage environment parameters that affect the aging of the waterproof coating. The comprehensive consideration of these parameters enables the system to more accurately simulate the actual usage environment, thereby providing a more accurate life prediction;

[0131] The system introduces a structure influence factor extraction module that extracts the corresponding structure aging influence factor from a pre-constructed structure influence factor matrix according to the usage structure vector such as coating area and coating thickness; fully considering the influence of different usage structures on the coating aging, improving the accuracy of the prediction;

[0132] The characteristic information collection module obtains the component characteristic information of the waterproof coating to be predicted. By combining with the experimental analysis results under the standard environment parameter set, the aging life of the coating under specific conditions can be determined more accurately;

[0133] The deviation analysis module performs deviation analysis on the usage environment parameter set and the standard environment parameter set to obtain the environmental aging influence factor; this step can quantify the difference between the actual usage environment and the standard environment, providing a basis for subsequent life correction; the life correction module then corrects the standard service life based on the structure aging influence factor and the environmental aging influence factor, thereby obtaining a prediction result closer to the actual situation;

[0134] Compared with the traditional prediction method based on laboratory standard tests, this system can perform more accurate life predictions for the actual usage environment; by comprehensively considering various influencing factors, the system can reduce the deviation between the prediction results and the actual situation, improving the accuracy and reliability of the predictions; accurate prediction of the aging life of waterproof coatings helps to replace the aged coatings in a timely manner, thereby extending the service life of buildings and enhancing the overall safety and reliability.

[0135] In summary, this waterproof coating aging life prediction system has significant advantages in solving the problem of predicting the aging life of waterproof coatings, can provide more accurate and reliable prediction results, and provides strong guarantee for the long-term safe operation of buildings.

[0136] The various variations and specific embodiments of the waterproof coating aging life prediction method in the foregoing Embodiment 1 are equally applicable to the waterproof coating aging life prediction system of this embodiment. Through the foregoing detailed description of the waterproof coating aging life prediction method, those skilled in the art can clearly know the implementation method of the waterproof coating aging life prediction system in this embodiment. Therefore, for the sake of brevity of the specification, it will not be elaborated herein.

[0137] In addition, this application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected through the bus. When the computer program is executed by the processor, it realizes each process of the method embodiment for controlling the output data, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0138] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can still be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A method for predicting the aging life of a waterproof coating, characterized in that, The method includes: Collecting the usage environment parameter set and the usage structure vector of the waterproof coating to be predicted; the usage environment parameter set includes humidity, temperature, ultraviolet intensity, and pH value; the usage structure vector includes coating area and coating thickness; Using the usage structure vector as a mapping condition to extract the corresponding structure aging influence factor from the pre-constructed structure influence factor matrix; Obtaining the composition characteristic information and the standard environment parameter set of the waterproof coating to be predicted; Performing deviation analysis on the usage environment parameter set and the standard environment parameter set to obtain the environment aging influence factor; Performing experimental analysis on the composition characteristic information to determine the standard service life of the waterproof coating under the standard environment parameter set; Based on the structure aging influence factor and the environment aging influence factor, correcting the standard service life to obtain the actual aging life of the waterproof coating to be predicted; The structure influence factor matrix is: Among them, p represents the number of different coating structures, n represents the number of corresponding aging influence factors under each coating structure, and m pn represents the value of the nth aging influence factor under the pth coating structure.

2. The method for predicting the aging life of the waterproof coating according to claim 1, wherein The construction method of the structure influence factor matrix includes: Collecting the coating aging life data under different structure parameters; Processing and analyzing the collected coating aging life data; including data cleaning, sorting, and statistical steps; Based on the processed coating aging life data, establishing a mathematical model to describe the relationship between the structure parameters and the coating aging life; Using the established mathematical model to calculate the aging influence factor under each structure parameter and filling it into the corresponding matrix cell to obtain the structure influence factor matrix.

3. The method for predicting the aging life of the waterproof coating according to claim 1, wherein The calculation formula for the environment aging influence factor is: Among them, i represents different environmental parameters; P i represents the value of the actual used environmental parameter i; P i，0 represents the value of the standard environmental parameter i; P imax and P imin are the maximum and minimum values taken by parameter i respectively, used for normalizing the difference value; w i is the weight coefficient of parameter i.

4. The method for predicting the aging life of the waterproof coating according to claim 1, characterized in that, The formula for calculating the actual aging life of the waterproof coating to be predicted is: Among them, L a represents the actual aging life of the waterproof coating to be predicted; L b represents the standard service life of the waterproof coating to be predicted; a i represents the correction coefficient of the i-th structural aging influence factor; F s，i represents the value of the i-th structural aging influence factor extracted from the structural influence factor matrix; n represents the total number of structural aging influence factors; b j represents the correction coefficient of the j-th environmental aging influence factor; F e，j represents the value of the j-th environmental aging influence factor obtained through deviation analysis; m represents the total number of environmental aging influence factors.

5. The method for predicting the aging life of the waterproof coating according to claim 1, characterized in that, The method for obtaining the composition characteristic information of the waterproof coating to be predicted includes: Obtaining the main chemical components in the coating through infrared spectrum analysis; obtaining the molecular weight and molecular structure of each component in the coating through mass spectrometry analysis; obtaining the detailed information of the coating molecular structure through nuclear magnetic resonance analysis; obtaining the volatile components in the coating through gas chromatography-mass spectrometry analysis; Obtaining the density of the coating through an electronic densitometer measurement; obtaining the viscosity of the coating through a rotational viscometer; obtaining the solid content of the coating through a drying loss method measurement; obtaining the content of volatile organic compounds in the coating through gas chromatography measurement; Obtaining the acid and alkali resistance of the coating by immersing the coating sample in acid and alkali solutions with different concentrations; obtaining the solvent resistance of the coating by immersing the coating sample in different solvents; obtaining the corrosion resistance of the coating in a salt spray environment through a salt spray test; Recording all test results, including the chemical composition, physical properties, and chemical resistance information of the coating; and sorting out all test results to obtain the coating composition characteristic information.

6. The method for predicting the aging life of the waterproof coating according to claim 1, wherein The method for obtaining the standard service life includes: Setting the aging test environment according to the collected standard environment parameter set; Preparing test samples according to the construction requirements of the coating and the usage structure vector; Placing the prepared test samples in the designed aging test environment and performing an aging test according to a predetermined time period; Estimating the standard service life of the coating under the standard environment parameter set by comparing and analyzing the performance changes of the coating before and after the aging test.

7. A waterproof coating aging life prediction system, characterized in that, The system is applied to the method for predicting the aging life of waterproof coating as described in claim 1, and the system includes: A data collection module that collects the set of usage environment parameters and the usage structure vector of the waterproof coating to be predicted; the set of usage environment parameters includes humidity, temperature, ultraviolet intensity, and pH value; the usage structure vector includes the coating area and the coating thickness; A structure influence factor extraction module that uses the usage structure vector as a mapping condition to extract the corresponding structure aging influence factor from a pre-constructed structure influence factor matrix; A feature information collection module that obtains the composition feature information of the waterproof coating to be predicted and the set of standard environment parameters; A deviation analysis module that performs deviation analysis on the set of usage environment parameters and the set of standard environment parameters to obtain the environmental aging influence factor; A standard service life determination module that conducts experimental analysis on the composition feature information to determine the standard service life of the waterproof coating under the set of standard environment parameters; A life correction module that corrects the standard service life based on the structure aging influence factor and the environmental aging influence factor to obtain the actual aging life of the waterproof coating to be predicted.

8. An electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor, the transceiver, the memory, and the processor being connected through the bus, characterized in that, When the computer program is executed by the processor, it implements the steps in the method described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the method described in any one of claims 1-6.

Images